Evidence map›Paper›PMID 35150211›Full record

ArticleESC heart failure2022

Pressure-based estimation of right ventricular ejection fraction.

Paul M Heerdt, Inderjit Singh, Ahmed Elassal, Vitaly Kheyfets, Manuel J Richter, Khodr Tello

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Paul M HeerdtDepartment. of Anesthesiology, Division of Applied Hemodynamics, Yale School of Medicine, New Haven, CT, USA.
Inderjit SinghDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, P.O. Box 208057, 300 Cedar Street TAC - 441 South, New Haven, CT, 06520-8057, USA.
Ahmed ElassalDepartment. of Anesthesiology, Division of Applied Hemodynamics, Yale School of Medicine, New Haven, CT, USA.
Vitaly KheyfetsDepartment of Bioengineering, School of Medicine, University of Colorado Denver, Anschutz Medical Center, Denver, CO, USA.
Manuel J RichterDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany.
Khodr TelloDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany.
Yale University · USUniversities of Giessen and Marburg Lung Center · DEUniversity of Colorado Anschutz Medical Campus · US

Funding

Research Training in AnesthesiaT32GM086287 · NIGMS · YALE UNIVERSITY · PI ROBERT SCHONBERGER · 2009 to 2026
$3.7M
What triggers RV Fiber Re-Orientation in response to RV pressure overload, and what is its Consequence on Inter-Ventricular Decoupling?R01HL152250 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Vitaly Kheyfets · 2023 to 2026
$1.9M
Inter-ventricular decoupling is an overlooked contributor to right ventricular myocardial stress and dysfunction in pediatric pulmonary hypertensionK25HL133481 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI KHEYFETS, VITALY · 2017 to 2021
$605k
Cause and effect of transient changes in stress, gene expression, and RV fiber orientation during RV remodeling, and its impact on RV function and inter-ventricular coupling in pulmonary hypertensionR56HL152250 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI KHEYFETS, VITALY · 2021 to 2021
$404k
NHLBI NIH HHS K25 HL133481NHLBI NIH HHS R01 HL152250NHLBI NIH HHS R56 HL152250NIGMS NIH HHS T32 GM086287
6 · The paper itself

Abstract

aimsA method for estimating right ventricular ejection fraction (RVEF) from RV pressure waveforms was recently validated in an experimental model. Currently, cardiac magnetic resonance imaging (MRI) is the clinical reference standard for measurement of RVEF in pulmonary arterial hypertension (PAH). The present study was designed to test the hypothesis that the pressure-based method can detect clinically significant reductions in RVEF as determined by cardiac MRI in patients with PAH. METHODS AND

resultsRVEF estimates derived from analysis of RV pressure waveforms recorded during right heart catheterization (RHC) in 25 patients were compared with cardiac MRI measurements of RVEF obtained within 24 h. Three investigators blinded to cardiac MRI results independently performed pressure-based RVEF estimation with the mean of their results used for comparison. Linear regression was used to assess correlation, and a receiver operator characteristic (ROC) curve was derived to define ability of the pressure-based method to detect a maladaptive RV response, defined as RVEF <35% on cardiac MRI. In 23 patients, an automated adaptation of the pressure-based RVEF method was also applied as proof of concept for beat-to-beat RVEF monitoring. The study cohort was comprised of 16 female and 9 male PAH patients with an average age of 53 ± 13 years. RVEF measured by cardiac MRI ranged from 16% to 57% (mean 37.7 ± 11.6%), and estimated RVEF from 15% to 54% (mean 36.2 ± 11.2%; P = 0.6). Measured and estimated RVEF were significantly correlated (r

conclusionsPressure-based estimation of RVEF correlates with cardiac MRI and detects clinically significant reductions in RVEF. Study results support potential utility of pressure-based RVEF estimation for assessing the response to diagnostic or therapeutic interventions during RHC.

Indexed as

Pulmonary Arterial HypertensionVentricular Dysfunction, RightAdultAgedFemaleHumansMaleMiddle AgedSensitivity and SpecificityStroke VolumeVentricular Function, RightCardiac MRIEjection fractionPAHRight ventricleRV:PA coupling

Identifiers

PMID35150211
PMCPMC8934966
OpenAlexW4210996071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.